WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1728689838.763588 5507114 gl_context.cc:357] GL version: 2.1 (2.1 Metal - 89.3), renderer: Apple M2 Max
INFO: Created TensorFlow Lite delegate for Metal.
W0000 00:00:1728689841.295845 5507152 landmark_projection_calculator.cc:186] Using NORM_RECT without IMAGE_DIMENSIONS is only supported for the square ROI. Provide IMAGE_DIMENSIONS or use PROJECTION_MATRIX.
E0000 00:00:1728689841.349315 5507158 shader_util.cc:99] Failed to compile shader:
1 #version 330
2 #ifdef GL_ES
3 #define DEFAULT_PRECISION(p, t) precision p t;
4 #else
5 #define DEFAULT_PRECISION(p, t)
6 #define lowp
7 #define mediump
8 #define highp
9 #endif // defined(GL_ES)
10 #if __VERSION__ < 130
11 #define in attribute
12 #define out varying
13 #endif // __VERSION__ < 130
14 in vec4 position; in mediump vec4 texture_coordinate; out mediump vec2 sample_coordinate; void main() { gl_Position = position; sample_coordinate = texture_coordinate.xy; }
E0000 00:00:1728689841.349355 5507158 shader_util.cc:106] Error message: ERROR: 0:1: '' : version '330' is not supported
E0000 00:00:1728689841.349448 5507114 calculator_graph.cc:896] INTERNAL: CalculatorGraph::Run() failed:
Calculator::Process() for node "mediapipe_tasks_vision_pose_landmarker_poselandmarkergraph__mediapipe_tasks_vision_pose_landmarker_multipleposelandmarksdetectorgraph__mediapipe_tasks_vision_pose_landmarker_singleposelandmarksdetectorgraph__TensorsToSegmentationCalculator" failed: ; RET_CHECK failure (mediapipe/calculators/tensor/tensors_to_segmentation_converter_metal.cc:216) upsample_program_Problem initializing the program.
Traceback (most recent call last):
File "/Users/zumpchke/mp_pose.py", line 33, in <module>
results = landmarker.detect(frame)
File "/Users/zumpchke/Library/Python/3.9/lib/python/site-packages/mediapipe/tasks/python/vision/pose_landmarker.py", line 352, in detect
output_packets = self._process_image_data({
File "/Users/zumpchke/Library/Python/3.9/lib/python/site-packages/mediapipe/tasks/python/vision/core/base_vision_task_api.py", line 95, in _process_image_data
return self._runner.process(inputs)
RuntimeError: CalculatorGraph::Run() failed:
Calculator::Process() for node "mediapipe_tasks_vision_pose_landmarker_poselandmarkergraph__mediapipe_tasks_vision_pose_landmarker_multipleposelandmarksdetectorgraph__mediapipe_tasks_vision_pose_landmarker_singleposelandmarksdetectorgraph__TensorsToSegmentationCalculator" failed: ; RET_CHECK failure (mediapipe/calculators/tensor/tensors_to_segmentation_converter_metal.cc:216) upsample_program_Problem initializing the program.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/zumpchke/mp_pose.py", line 38, in <module>
cv2.destroyAllWindows()
File "/Users/zumpchke/Library/Python/3.9/lib/python/site-packages/zumpchke/tasks/python/vision/core/base_vision_task_api.py", line 226, in __exit__
self.close()
File "/Users/zumpchke/Library/Python/3.9/lib/python/site-packages/mediapipe/tasks/python/vision/core/base_vision_task_api.py", line 209, in close
self._runner.close()
RuntimeError: CalculatorGraph::Run() failed:
Calculator::Process() for node "mediapipe_tasks_vision_pose_landmarker_poselandmarkergraph__mediapipe_tasks_vision_pose_landmarker_multipleposelandmarksdetectorgraph__mediapipe_tasks_vision_pose_landmarker_singleposelandmarksdetectorgraph__TensorsToSegmentationCalculator" failed: ; RET_CHECK failure (mediapipe/calculators/tensor/tensors_to_segmentation_converter_metal.cc:216) upsample_program_Problem initializing the program.
Have I written custom code (as opposed to using a stock example script provided in MediaPipe)
None
OS Platform and Distribution
macOS Sequoia 10.15.1
MediaPipe Tasks SDK version
0.10.15
Task name (e.g. Image classification, Gesture recognition etc.)
Pose landmarker
Programming Language and version (e.g. C++, Python, Java)
Python
Describe the actual behavior
Shader error
Describe the expected behaviour
Success
Standalone code/steps you may have used to try to get what you need
Other info / Complete Logs